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Zenity, a security and governance platform for AI agents, has announced native support for Amazon Bedrock AgentCore. This integration provides enterprises with full-lifecycle security—from development to runtime—for custom AI agents built on the AWS framework, and Zenity will soon be available via AWS Marketplace.
Zenity provides full-lifecycle security and governance for AI agents built on Amazon Bedrock AgentCore.
The integration offers visibility into agent behavior, real-time detection of unsafe actions, and inline enforcement.
It addresses security gaps in flexible, code-driven AgentCore configurations by mapping agent intent to risk.
Capabilities include tracing memory usage, toolchains, and orchestration patterns back to enterprise policies.
Zenity will soon be available for discovery and deployment directly through AWS Marketplace.
The solution aims to enable secure and compliant scaling of agentic AI initiatives on AWS.
Amazon Bedrock AgentCore provides developers with deep control for building customized AI agents, including over memory, identity, and orchestration. This flexibility, however, can create security blind spots, as the platform does not automatically infer why an agent uses a particular capability. Zenity's integration is designed to fill this critical gap by giving security teams complete visibility into agent behavior and intent, connecting build-time configuration with live runtime telemetry.
The integration enables joint customers to gain an in-depth understanding of which agents exist and how they operate within their environment. It provides tools to detect and prevent unsafe behaviors—such as indirect prompt injection or unauthorized memory access—in real time. Furthermore, Zenity allows security teams to control agents to ensure they cannot perform unsanctioned actions, even as their behaviors evolve, offering deterministic blocking to minimize business and compliance risk.
A key function of the platform is its ability to trace and map an agent's operational patterns back to defined enterprise policies. This includes analyzing memory usage, toolchains, code instrumentation, and orchestration patterns. By providing this context, Zenity helps security teams understand the "why" behind agent actions and assess them against organizational risk models. “By connecting build-time configuration with live runtime telemetry, Zenity gives security teams complete visibility into agentic intent and full control over agentic behavior,” said Michael Bargury, CTO and co-founder of Zenity.
The announcement positions Zenity as the first to offer full-lifecycle security coverage for organizations adopting agentic AI on AWS via AgentCore. With planned availability on AWS Marketplace, the solution aims to fit naturally into AWS developer workflows, accelerating secure and compliant adoption. This allows enterprises to scale their agentic AI initiatives with confidence, knowing they can meet security and governance obligations.
By integrating deeply with AgentCore, Zenity is addressing the unique security challenges posed by highly customizable AI agents, providing the guardrails needed for innovation to proceed safely at enterprise scale.
About Zenity
Zenity is the first security and governance platform purpose built for AI agents spanning SaaS, home grown platforms (Cloud) and end user devices (Endpoint). Trusted by Fortune 500 enterprises, Zenity helps security teams confidently adopt AI by delivering defense in depth with full lifecycle coverage, from agent discovery and posture management to real time detection, inline prevention and response. With an agent centric approach that prioritizes how agents behave, what they access and which tools they invoke, Zenity eliminates blind spots and enforces consistent policy and controls across environments so organizations can innovate with AI without compromising security.
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